13results about How to "Optimize processing parameters" patented technology

The invention relates to the technical field of machine tool intelligent machining, and discloses a machining method based on deep learning and multi-sensor fusion, which comprises the following steps: collecting data in the machining process of a numerical control machine tool, and preprocessing the data in the machining process of the numerical control machine tool to obtain a data set; inputting the obtained data set corresponding to the data acquired by the plurality of sensors into a Kalman filtering algorithm for Kalman recursive filtering processing to obtain fused actual observation data acquired by the sensors; inputting a data set corresponding to the fused actual observation data acquired by the sensor and the data acquired by the numerical control system into a depth Q network algorithm, and predicting to obtain an optimal tool path; a magnetic field is applied to the machined workpiece through the excitation module; and machining a machined workpiece model along the optimal tool path by adopting an ultrasonic tool high-frequency machining method. According to the invention, the surface quality of the to-be-processed workpiece can be obviously improved.

The utility model discloses a V type bending machine, it is in solving the low bending precision of existing equipment, the problem of pressure can not monitor and poor adaptability, including frame, electric jar, pressure sensor, pressure head, pressure seat and pressure gauge, electric jar is fixed in frame through support, and its telescopic end is vertical and downward, and pressure sensor and pressure head are connected in proper order, and the bottom side of pressure head is equipped with V type convex, and pressure seat is opposite to pressure head, and is equipped with the matching V type groove, and both sides are equipped with positioning groove and positioning block, and are respectively used for product horizontal limit and end limit, and pressure gauge is connected with pressure sensor, and can display and store pressure information. The support is equipped with slide rail assembly and L type connecting seat, guarantees that pressure head moves stably, and pressure head and connecting seat, pressure seat and frame all are detachable connection through bolt. The utility model discloses through electric jar accurate drive, real -time monitoring and positioning optimization of pressure, improves bending precision and product quality, and the adaptability is strong, and it is convenient to maintain.

This invention provides a method to improve the consistency of wire-cutting data for large silicon wafers, addressing the problem that existing testing methods cannot provide consistent test data with the wire-cutting direction as the initial position for process debugging and R&D needs. A method is proposed that solves the wire-cutting data consistency problem by changing the initial test position and aligning the test path with the cutting direction, thus facilitating process adjustment and optimization of processing parameters. The initial test angle β is adjusted so that the angle α between the initial test angle and the notch direction is equal to β. The thickness steepness of the test data along the cutting direction is calculated to characterize the impact of cutting on the silicon wafer morphology.

To overcome the shortcomings of existing technologies in formulating optimal processing schemes that effectively suppress the initiation of service cracks, thus posing a potential safety hazard to metal components, this invention proposes a processing parameter optimization method based on crack suppression. Using in-situ tensile and SEM techniques, the core indicators of crack initiation during the service of metal components are taken as the direct targets for processing parameter optimization. This reveals the influence of differences in surface condition caused by processing parameters on microcrack initiation. Based on this influence, strain-crack density curves are established under different processing parameter combinations / parameters to screen out the optimal processing parameter combination / parameter. If the optimal processing parameter combination / parameter cannot be screened, the correlation between crack initiation point, surface damage type, and processing parameter combination / parameter is further established, and the optimal processing parameter combination / parameter is screened based on this correlation.

The present invention relates to the field of metal additive manufacturing, and in particular to a system and method for predicting metal additive manufacturing time based on data fusion, wherein the system comprises an import extraction module, a processing time prediction module, a preparation time prediction module and a data output module; the import extraction module comprises an import extraction unit and a storage unit, the storage unit is used to store the extracted data, the import extraction unit is used to import training parts or parts to be processed, extract effective feature data of the training parts or parts to be processed, and extract processing parameters of equipment; the processing time prediction module is used to predict the processing time of each layer of the parts to be processed; the preparation time prediction module is used to predict the preparation time of each layer of the parts to be processed; the data output module is used to output the total processing time, total preparation time and overall manufacturing time of the predicted parts. The present invention can quickly and accurately predict the total manufacturing time of the parts to be printed.

The application discloses a kind of laser-assisted water jet rock breaking experimental device and experimental method thereof, including test bin, the top side of test bin has installation platform, the other side is provided with window, the bottom wall of window is installed with clamp, the side wall of test bin is provided with drainage notch, displacement mechanism is installed on installation platform, displacement mechanism is installed on support seat, support seat is installed on rock breaking device;Rock breaking device includes laser emitter and high-pressure water jet nozzle, laser emitter is installed on support seat, high-pressure water jet nozzle is installed on support seat by angle adjusting mechanism.The application is aimed at the problems of low rock breaking efficiency, high energy consumption, tool wear and difficulty in breaking high-hardness rock in traditional water jet rock breaking technology, a kind of laser-assisted water jet rock breaking experimental device is proposed, which can provide reliable experimental platform support for revealing the rock breaking mechanism of laser and water jet and optimizing processing parameters.

This invention provides a method and system for optimizing processing parameters of microwave absorbing panels, relating to the field of data processing technology. The method includes: optimizing the processing parameters of the absorbing layer within the range of absorbing parameters to improve absorbing performance, obtaining multiple sets of absorbing parameters; predicting the absorbing temperature and panel quality of the absorbing panel based on the electromagnetic parameters of the working environment of the absorbing panel, obtaining multiple sets of panel quality information, and selecting the optimal absorbing parameter set; optimizing the processing parameters of the heat dissipation layer within the range of heat dissipation parameters to reduce the absorbing temperature rise, obtaining the optimal heat dissipation parameter set; and combining the optimal absorbing parameters and the optimal heat dissipation parameters as the optimization result of the processing parameters of the absorbing panel. This solves the technical problem in the prior art of lacking control over the parameters of the absorbing panel during the processing, resulting in a low pass rate of the absorbing panel, and achieves rational and accurate optimization of the processing parameters of the absorbing panel, thereby improving the pass rate of the absorbing panel.

The invention discloses a dovetail groove deburring device, and relates to the technical field of dovetail groove machining, the dovetail groove deburring device comprises a machine tool, the upper surface of the machine tool is fixedly connected with an auxiliary frame I, the interior of the auxiliary frame I is fixedly connected with guide rails, the number of the guide rails is two, and the guide rails are distributed up and down on the same vertical plane; the device can be suitable for dovetail grooves with different inner wall inclination angles, burrs on the surfaces of the dovetail grooves can be removed, the universality of the device is improved, machining parameters can be optimized, the dovetail grooves can be better attached to the surfaces of the dovetail grooves, and therefore the deburring effect is improved; lubricating oil can be evenly distributed on the surface of the guide rail, frictional resistance of the sliding block when the sliding block moves on the guide rail is reduced, movement precision and stability of the sliding block are improved, cooling liquid can evenly and effectively cover the whole machining area, local overheating or insufficient cooling is avoided, and quality and precision of the machined surface are improved.

The application provides a turbine blade narrow slot grinding method, and the specific steps are as follows: selecting a CBN grinding wheel as a narrow slot grinding tool; according to the size of single grinding depth, the grinding process is divided into large depth of cut grinding and small depth of cut grinding; when the large depth of cut grinding is performed, the linear speed of the grinding wheel and the grinding depth are increased; when the small depth of cut grinding is performed, the linear speed of the grinding wheel and the workpiece feeding speed are increased, so that the rapid grinding of the narrow slot on the turbine blade is realized; and the tool wear form, machining efficiency, machining surface quality and the like in the cutting process are measured and analyzed, so that the problems of the original part failing to meet the design requirements and the machining efficiency being improved and the like are overcome.

The present application relates to a signal PIN processing method and mold, the obtained product and electronic equipment using the product, and a processing control system, and relates to the fields of electronic manufacturing and mold technology. The method improves the processing quality and efficiency of the signal PIN while reducing costs by improving the traditional stamping die technology. The product obtained by this method has high surface quality, excellent electrical performance and structural stability, and meets the high-precision and high-demand AI module production needs.

The present invention relates to the technical field of gear processing and production, and specifically discloses a gear processing device and method of a gear processing machine tool with curved surface detection, comprising a gear processing end, a limit assembly for fixing a gear, a curved surface processing area for gear curved surface processing and a curved surface detection area for video acquisition are arranged on the limit assembly, a retractable tool system is arranged in the curved surface processing area, a curved surface detection device is vertically arranged in the curved surface detection area, the curved surface detection device sends the collected gear curved surface information to a curved surface analysis module; the curved surface analysis module detects the gear curved surface information in the gear processing process in real time based on the curved surface detection device; and sends the gear curved surface information to a control module; the control module analyzes the processing error based on the gear curved surface information, and dynamically adjusts the cutting processing data according to the preset processing standard and error threshold.

The invention discloses a machine tool digital twin simulation optimization method and system and an optimization control system. The optimization control system comprises a data input unit, a system optimization unit, a twin model construction unit, a data analysis unit, a decision support unit and an implementation feedback unit. Through real-time data acquisition and analysis, machine tool parameters can be adjusted in time, the production efficiency is improved, and the production interruption and shutdown time is shortened; an optimization algorithm is used for improving machining parameters, the machining speed and precision are improved, and the production yield is increased; the digital twinning technology can accurately simulate the operation and environment of a machine tool, predict potential quality problems and ensure that the product quality meets the standard; by optimizing machining parameters and processes, the defect rate of products is reduced, and the consistency and reliability of the products are improved; by predicting the maintenance demand and monitoring the state of the machine tool in real time, maintenance can be carried out in advance, sudden faults are reduced, and the maintenance cost is reduced.

This invention provides a design method for a casing treatment with stabilization and noise reduction functions. The method includes: constructing the wall impedance equation of the casing treatment using the equivalent distributed source method and the characteristic impedance model of porous materials; matching the perturbation continuity equation and momentum equation of the casing treatment section with the bladeless region of an axial compressor using the transfer element method; constructing the perturbation frequency characteristic equation of the axial compressor with casing treatment based on small perturbation theory; solving the perturbation frequency characteristic equation to obtain the perturbation frequency; determining the instability point of the axial compressor based on the imaginary part of the perturbation frequency; calculating the instability point of the axial compressor under different casing treatment parameters; and selecting the casing treatment parameters corresponding to the lowest instability point as the design parameters of the casing treatment. Implementing the technical solution of this invention can optimize the stabilization of the casing treatment. The casing treatment designed using the technical solution of this invention can achieve noise reduction due to the use of porous materials.